Anti-interference Tracking Methods of Maneuvering Target for Structure Random Jump Systems

Abstract

In this article, a study of anti-interference tracking method of maneuvering target for nonlinear structure random jump systems (SRJSs) with random interference was investigated. Inview of the random interference problem of the tracking system, the nonlinear Gaussian approximation filtering (NGAF) was applied to achieve anti-interference tracking of maneuvering target in observation noises environment with the pip interference signal. Inview of the defects of the NGAF algorithm, bootstrap filtering (BSF) algorithm of SRJSs was applied to avoid the loss of information caused by neglecting the higher-order terms. A meaningful example of radar/IR dual-mode compound seeker is presented to illustrate the effectiveness of the authors’methods, the performances of extended Kalman filtering (EKF), NGAF and BSF in terms of stability, accuracy and computational complexity were compared. The purpose of this paper was to demonstrate the effectiveness of applying the NGAF and BSF on anti-interference target tracking problems of SRJSs, which in the past the factors of randomness and structure uncertainties characteristics had been rarely considered for the studies of maneuvering target tracking, mostly the structures and the parameters of the tracking system were invariant and certainty, and had typically been solved by Kalman or extended Kalman filters.